mirror of
https://github.com/agentscope-ai/ReMe.git
synced 2026-10-23 05:35:30 +00:00
548b08561e
* refactor: generalize decision models and add opt-in context compaction * chore: remove compaction-specific license metadata * test: add live decision compaction scenarios and strategy guides * docs: describe current decision model configuration directly * refactor: preserve recoverable tool evidence and add compaction benchmarks * docs: visualize compaction benchmark results with English charts * docs: fix compaction benchmark links with verified permalinks * benchmark: evaluate fixed-summary evidence additions and summary-aware selection * docs: report summary-aware incremental evidence results * docs: unify compaction strategy comparison * refactor: replace compaction studies with one matched-input benchmark * docs: pin matched-input results links * bench: evaluate gold-labelled HotpotQA trajectories collected with Hermes * docs: pin gold-labelled benchmark results * bench: focus on frozen-summary Jev Top-N payment evaluation * docs: pin frozen-summary benchmark results * bench: evaluate fixed-summary fusion across Hermes fixture tasks * docs: pin compaction study references to reviewed results * bench: compare Jev fusion across frozen summary strategies * docs: pin dual-summary benchmark and figure references * docs: specify reproducible compaction settings and Hermes summary scope * docs: plot Jev token overhead by retained Top N * docs: pin reproducibility settings and revised cost figure * docs: price total compaction and answering cost across Top N * docs: pin final cost accounting and reproduction references * docs: explain compaction experiment background setup and conclusions inline * docs: compare compaction-only costs and omit Full from cost panel * docs: pin compaction-only cost references * docs: retain only quality and context-length experiment comparisons * docs: pin streamlined experiment references * docs: add Chinese counterparts for all compaction benchmark guides * docs: link benchmark guides in the matching language * docs: consolidate bilingual compaction benchmark guides * docs: point compaction references to consolidated benchmark * docs: reference Hermes Jev compaction evaluation results * fix(benchmark): validate cached native summary provenance
45 lines
746 B
Python
45 lines
746 B
Python
"""Component enumeration module."""
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from enum import Enum
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class ComponentEnum(str, Enum):
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"""Enumeration of component types for dependency injection and registration."""
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BASE = "base"
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AS_LLM = "as_llm"
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AS_DECISION_MODEL = "as_decision_model"
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AS_EMBEDDING = "as_embedding"
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EMBEDDING_STORE = "embedding_store"
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FILE_CHUNKER = "file_chunker"
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FILE_STORE = "file_store"
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FILE_GRAPH = "file_graph"
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FILE_CATALOG = "file_catalog"
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KEYWORD_INDEX = "keyword_index"
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TAG_INDEX = "tag_index"
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SERVICE = "service"
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CLIENT = "client"
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STEP = "step"
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JOB = "job"
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TOKENIZER = "tokenizer"
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AGENT_WRAPPER = "agent_wrapper"
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MAIL = "mail"
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OUTBOUND_PROXY = "outbound_proxy"
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